Abstract: It has recently been proposed that a minimal condition of intelligence is the ability to form accurate predictions (Tjøstheim & Stephens 2021). In this talk, I evaluate the promise
Abstract: Event cameras are novel bio-inspired sensors that naturally respond to motion in the scene. They have promising advantages, namely a high dynamic range, little motion blur and low latency.
Abstract: Sense of agency (SOA) refers to the experience of controlling one’s own actions and corresponding effects. Social agency refers to SOA in situations where other social agents are involved.
It's that time of year again! Every April, school girls all over Germany visit scientific institutions to get inspiration for their future careers. SCIoI has participated in this event twice
Abstract: Artificial deep neural networks (DNNs) are used in many different ways to address scientific questions about how biological vision works. In spite of the wide usage of DNNs in
More details to follow.
Workshop title: Es liegt was in der Luft Theme: Stage and the Environment Where: Hochschule für Schauspielkunst Ernst Busch Im Anthropozän, dem sogenannten ‘Zeitalter des Menschen’, ist die Umwelt zur
More details to follow. This talk will take place in person at SCIoI.
Workshop title: Von Kontrolle zu Kooperation Theme: Air as Technology Where: silent green Kulturquartier Betonindustrie, Verbrennungsmotor, Google-Suchanfrage – Technologie wird heute an ihrer CO₂-Emission gemessen. Unsere technische Kultur hat
Workshop title: Breathing in, Breathing out Theme: Practices of Air Where: YOGA at Lobe Block We are breathing beings. Every breath reconnects us to ourselves, to our fellow beings,
Abstract: Estimating motion from image sensors is a fundamental problem in computer vision and robotics. Event cameras are novel bio-inspired sensors that provide a signal suitable for estimating motion because
Abstract: The opacity of datasets poses a significant challenge to creating inclusive and intelligible machine learning (ML) systems. Various AI ethics initiatives have addressed this issue by proposing standardized dataset
Marchstr. 23 – MAR 5-2
10587 Berlin
Email: info@scioi.de
Tel: +49 30 314 77344
